STIL-TA: A new model of traffic flow forecasting based on spatiotemporal interactive learning and temporal attention

Open Access

Peer-reviewed

Research Article

About the Authors

Linlong Chen

Roles Methodology

Affiliation School of Big Data & Information Engineering, Guiyang Institute of Humanities and Technology, Guiyang, China

Linbiao Chen

Contributed equally to this work with: Linbiao Chen, Hongyan Wang, Jian Zhao

Roles Software

Affiliation School of Computer & Communication, Lanzhou University of Technology, Lanzhou, China

Hongyan Wang

Contributed equally to this work with: Linbiao Chen, Hongyan Wang, Jian Zhao

Roles Validation

Affiliation Big Data & Intelligent Engineering School & Chongqing College of International Business and Economics, Chongqing, China

Jian Zhao

Contributed equally to this work with: Linbiao Chen, Hongyan Wang, Jian Zhao

Roles Visualization

Affiliation School of Big Data & Information Engineering, Guiyang Institute of Humanities and Technology, Guiyang, China

The authors have declared that no competing interests exist.

Convolution
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Forecasting
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Support vector machines
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Machine learning
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Neural networks
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Learning
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Roads
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Statistical methods
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